Documents in, knowledge out
Presets for handbooks, cases, processes, law and manuals decide what is taken from your documents.
Fewer resources. Fewer hallucinations.
Monixlab builds the knowledge first, finds the right part for every question, checks every answer against it, and trains the model only on how to apply it.
An illustration with sample knowledge, not a live model.
Presets for handbooks, cases, processes, law and manuals decide what is taken from your documents.
Every proposal waits for your yes. Review in batches, even at tens of thousands of entries.
Chat with the draft and see which knowledge every answer used.
The retriever learns the words of your domain from your own knowledge.
A small adapter teaches the model how your experts answer: structure, tone and domain logic.
Only the adapter is trained. Every run is compared on your test questions before you adopt it.
Experts, versions and GPUs on your own hardware. Nothing leaves your network.
Your expert answers through the OpenAI and Anthropic APIs.
Roles, reviews and a key per customer. Every expert is a repository you can move 1:1.
Try everything on your own field. Not for commercial use.
One person, for commercial work.
A small team sharing its experts.
A department with many experts.
The whole company, without limits.
Invite-only beta. Prices for every plan on request.
Tell us which field your knowledge comes from. We send invite codes in small cohorts.
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